Learn how to perform data analysis with the R language and software environment, even if you have little or no programming experience.
DurationLearn how to perform data analysis with the R language and software environment, even if you have little or no programming experience.
With the tutorials in this class, you’ll learn how to use the essential R tools you need to know to analyze data, including data types and programming concepts. The also shows you real data analysis in action by covering everything from importing data to publishing your results.
ONLC is a leading business-to-business IT training company. Organizations large and small use us because of our quality instruction and great customer service. We are so confident in the quality of our instruction, we have a money-back guarantee. Money-back Guarantee.
Dedicated Classrooms for Best Learning:
We know the importance of the classroom in the learning process. That’s why we have hundreds of training centers for our live classes, making ONLC the largest IT training company in North America. A quiet, interruption-free classroom environment to make the most of training.
Low Class Cancellations:
Cancelled classes wreak havoc on work schedules. We cancel fewer than 3% of our live, hands-on classes due to low enrollments—one of the lowest cancellation rates in the industry.
We use Remote Classroom Instruction (RCI™) to combine enrollments from all of our locations, making more classes run
Data science is huge, and the ability to tackle analysis problems in a highly specialized and fast language will help people who are not engineers approach the topic.
This class is an intensive introduction to R. It starts with the very basics of assigning variables and reading data. It then progresses to using RMarkdown for document and presentation creation.
Statistical computing is employed within a diverse range of industries. In recent years, an open source project, R, has emerged as the preeminent statistical computing platform. With its unsurpassed library of freely available packages, R is capable of addressing almost every statistical inference ...
This course is a 35-hour program designed to provide a comprehensive introduction to R. You’ll learn how to load, save, and transform data as well as how to write functions, generate graphs, and fit basic statistical models with data.
In this course, you’ll use advanced modeling techniques to predict, classify and group data. You’ll use more advanced techniques to help you understand both inferential and predictive approaches.
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